Question

我想使用d3创建一个堆栈区域图表，但我看到的所有示例都有不同的数据格式，然后我无法弄清楚如何使用我的数据格式绘制图表。

例如：http://bl.ocks.org/mbostock/3020685

这是我的数据：

var data = [{data: [
["2016-01-20T05:31:17.000Z", 95.9, {}],
["2016-01-20T05:31:47.000Z", 95.9, {}],
["2016-01-20T05:32:17.000Z", 95.4, {}],
["2016-01-20T05:32:47.000Z", 96.1, {}],
["2016-01-20T05:33:17.000Z", 95.7, {}],
["2016-01-20T05:33:47.000Z", 95.9, {}],
["2016-01-20T05:34:17.000Z", 95.5, {}],
["2016-01-20T05:34:47.000Z", 95.9, {}],
["2016-01-20T05:35:17.000Z", 95.8, {}],
["2016-01-20T05:35:47.000Z", 95.9, {}],
["2016-01-20T05:36:17.000Z", 95.7, {}],
["2016-01-20T05:36:47.000Z", 95.7, {}],
["2016-01-20T05:37:17.000Z", 95.9, {}],
["2016-01-20T05:37:47.000Z", 95.5, {}],
["2016-01-20T05:38:17.000Z", 95.4, {}],
["2016-01-20T05:38:47.000Z", 95.8, {}],
["2016-01-20T05:39:17.000Z", 96.0, {}],
["2016-01-20T05:39:47.000Z", 96.1, {}],
["2016-01-20T05:40:17.000Z", 95.8, {}],
["2016-01-20T05:40:47.000Z", 96.0, {}],
["2016-01-20T05:41:17.000Z", 95.9, {}],
["2016-01-20T05:41:47.000Z", 94.9, {}],
["2016-01-20T05:42:17.000Z", 95.8, {}],
["2016-01-20T05:42:47.000Z", 95.9, {}],
["2016-01-20T05:43:17.000Z", 95.8, {}],
["2016-01-20T05:43:47.000Z", 96.0, {}],
["2016-01-20T05:44:17.000Z", 95.7, {}],
["2016-01-20T05:44:47.000Z", 96.0, {}],
["2016-01-20T05:45:17.000Z", 95.9, {}],
["2016-01-20T05:45:47.000Z", 96.0, {}],
["2016-01-20T05:46:17.000Z", 95.8, {}],
["2016-01-20T05:46:47.000Z", 96.0, {}],
["2016-01-20T05:47:17.000Z", 95.7, {}],
["2016-01-20T05:47:47.000Z", 96.2, {}],
["2016-01-20T05:48:17.000Z", 95.8, {}],
["2016-01-20T05:48:47.000Z", 95.9, {}],
["2016-01-20T05:49:17.000Z", 95.7, {}],
["2016-01-20T05:49:47.000Z", 95.9, {}],
["2016-01-20T05:50:18.000Z", 95.7, {}],
["2016-01-20T05:50:48.000Z", 95.8, {}],
["2016-01-20T05:51:18.000Z", 95.7, {}],
["2016-01-20T05:51:48.000Z", 95.9, {}],
["2016-01-20T05:52:18.000Z", 95.5, {}],
["2016-01-20T05:52:48.000Z", 95.9, {}],
["2016-01-20T05:53:18.000Z", 95.8, {}],
["2016-01-20T05:53:48.000Z", 95.9, {}],
["2016-01-20T05:54:18.000Z", 95.7, {}],
["2016-01-20T05:54:48.000Z", 95.9, {}],
["2016-01-20T05:55:18.000Z", 95.8, {}],
["2016-01-20T05:55:48.000Z", 95.8, {}],
["2016-01-20T05:56:18.000Z", 95.6, {}],
["2016-01-20T05:56:48.000Z", 95.7, {}],
["2016-01-20T05:57:18.000Z", 95.7, {}],
["2016-01-20T05:57:48.000Z", 95.8, {}],
["2016-01-20T05:58:18.000Z", 95.7, {}],
["2016-01-20T05:58:48.000Z", 95.7, {}],
["2016-01-20T05:59:18.000Z", 95.6, {}],
["2016-01-20T05:59:48.000Z", 95.8, {}],
["2016-01-20T06:00:18.000Z", 95.7, {}],
["2016-01-20T06:00:48.000Z", 95.7, {}],
["2016-01-20T06:01:18.000Z", 95.6, {}],
["2016-01-20T06:01:48.000Z", 95.7, {}],
["2016-01-20T06:02:18.000Z", 95.8, {}],
["2016-01-20T06:02:48.000Z", 95.8, {}],
["2016-01-20T06:03:18.000Z", 95.8, {}],
["2016-01-20T06:03:48.000Z", 95.8, {}],
["2016-01-20T06:04:18.000Z", 95.8, {}],
["2016-01-20T06:04:48.000Z", 95.8, {}],
["2016-01-20T06:05:18.000Z", 95.7, {}],
["2016-01-20T06:05:48.000Z", 95.7, {}]],
label: "a"}, {data: [
["2016-01-20T05:31:17.000Z", 95.9, {}],
["2016-01-20T05:31:47.000Z", 95.9, {}],
["2016-01-20T05:32:17.000Z", 95.4, {}],
["2016-01-20T05:32:47.000Z", 96.1, {}],
["2016-01-20T05:33:17.000Z", 95.7, {}],
["2016-01-20T05:33:47.000Z", 95.9, {}],
["2016-01-20T05:34:17.000Z", 95.5, {}],
["2016-01-20T05:34:47.000Z", 95.9, {}],
["2016-01-20T05:35:17.000Z", 95.8, {}],
["2016-01-20T05:35:47.000Z", 95.9, {}],
["2016-01-20T05:36:17.000Z", 95.7, {}],
["2016-01-20T05:36:47.000Z", 95.7, {}],
["2016-01-20T05:37:17.000Z", 95.9, {}],
["2016-01-20T05:37:47.000Z", 95.5, {}],
["2016-01-20T05:38:17.000Z", 95.4, {}],
["2016-01-20T05:38:47.000Z", 95.8, {}],
["2016-01-20T05:39:17.000Z", 96.0, {}],
["2016-01-20T05:39:47.000Z", 96.1, {}],
["2016-01-20T05:40:17.000Z", 95.8, {}],
["2016-01-20T05:40:47.000Z", 96.0, {}],
["2016-01-20T05:41:17.000Z", 95.9, {}],
["2016-01-20T05:41:47.000Z", 94.9, {}],
["2016-01-20T05:42:17.000Z", 95.8, {}],
["2016-01-20T05:42:47.000Z", 95.9, {}],
["2016-01-20T05:43:17.000Z", 95.8, {}],
["2016-01-20T05:43:47.000Z", 96.0, {}],
["2016-01-20T05:44:17.000Z", 95.7, {}],
["2016-01-20T05:44:47.000Z", 96.0, {}],
["2016-01-20T05:45:17.000Z", 95.9, {}],
["2016-01-20T05:45:47.000Z", 96.0, {}],
["2016-01-20T05:46:17.000Z", 95.8, {}],
["2016-01-20T05:46:47.000Z", 96.0, {}],
["2016-01-20T05:47:17.000Z", 95.7, {}],
["2016-01-20T05:47:47.000Z", 96.2, {}],
["2016-01-20T05:48:17.000Z", 95.8, {}],
["2016-01-20T05:48:47.000Z", 95.9, {}],
["2016-01-20T05:49:17.000Z", 95.7, {}],
["2016-01-20T05:49:47.000Z", 95.9, {}],
["2016-01-20T05:50:18.000Z", 95.7, {}],
["2016-01-20T05:50:48.000Z", 95.8, {}],
["2016-01-20T05:51:18.000Z", 95.7, {}],
["2016-01-20T05:51:48.000Z", 95.9, {}],
["2016-01-20T05:52:18.000Z", 95.5, {}],
["2016-01-20T05:52:48.000Z", 95.9, {}],
["2016-01-20T05:53:18.000Z", 95.8, {}],
["2016-01-20T05:53:48.000Z", 95.9, {}],
["2016-01-20T05:54:18.000Z", 95.7, {}],
["2016-01-20T05:54:48.000Z", 95.9, {}],
["2016-01-20T05:55:18.000Z", 95.8, {}],
["2016-01-20T05:55:48.000Z", 95.8, {}],
["2016-01-20T05:56:18.000Z", 95.6, {}],
["2016-01-20T05:56:48.000Z", 95.7, {}],
["2016-01-20T05:57:18.000Z", 95.7, {}],
["2016-01-20T05:57:48.000Z", 95.8, {}],
["2016-01-20T05:58:18.000Z", 95.7, {}],
["2016-01-20T05:58:48.000Z", 95.7, {}],
["2016-01-20T05:59:18.000Z", 95.6, {}],
["2016-01-20T05:59:48.000Z", 95.8, {}],
["2016-01-20T06:00:18.000Z", 95.7, {}],
["2016-01-20T06:00:48.000Z", 95.7, {}],
["2016-01-20T06:01:18.000Z", 95.6, {}],
["2016-01-20T06:01:48.000Z", 95.7, {}],
["2016-01-20T06:02:18.000Z", 95.8, {}],
["2016-01-20T06:02:48.000Z", 95.8, {}],
["2016-01-20T06:03:18.000Z", 95.8, {}],
["2016-01-20T06:03:48.000Z", 95.8, {}],
["2016-01-20T06:04:18.000Z", 95.8, {}],
["2016-01-20T06:04:48.000Z", 95.8, {}],
["2016-01-20T06:05:18.000Z", 95.7, {}],
["2016-01-20T06:05:48.000Z", 95.7, {}]],
label: "b"}]

所以请帮我用我的数据格式创建堆栈区域图。

Answer 1

您的数据集已经采用格式化表单，因此您不需要example

中的嵌套函数

但是，您需要合并所有数组以获得最大值和最小值。

var ary = [];
layers.forEach(function(d) {
  ary.push(d.data);//collecting all data
})

x.domain(d3.extent(d3.merge(ary), function(d) {
  return new Date(d[0]);
}));

y.domain([0, d3.max(d3.merge(ary), function(d) {
  return d.y0 + d.y;
})]);

休息与示例中一样。

工作代码here

d3堆栈区数据格式问题

1 个答案: